Paper Citation Record · LEDGER

Transfer Learning in Deep Reinforcement Learning: A Survey

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2009.07888.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2009.07888 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:15:59.617648Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T10:53:13.257358Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3b7e5cc5-fdd8-4df4-8d58-bec20e7755e8 · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey Transfer Learning in Deep Reinforcement Learning: A Survey

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:47:45.821697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 951eaa83-08f4-44f7-875d-a76e668421e0 · inbound

Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change cites this paper.

Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Transfer Learning in Deep Reinforcement Learning: A Survey

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.617648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45c47200-8852-41ea-8163-edc09604763c · inbound

Toward a universal foundation model for graph-structured data cites this paper.

Toward a universal foundation model for graph-structured data Transfer Learning in Deep Reinforcement Learning: A Survey

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:25:51.958671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f06afa42-38a7-42d4-8ad5-e1187c1cc442 · inbound

Transfer Learning for Customized Car Racing Environments cites this paper.

Transfer Learning for Customized Car Racing Environments Transfer Learning in Deep Reinforcement Learning: A Survey

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:53:13.258839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.